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life course research. You will have the opportunity to use your initiative and creativity to identify areas for research, develop research methods and extend your research portfolio. The School
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. Demonstrate sufficient breadth and depth of specialist knowledge in the discipline and of research methods and techniques to work within established research programmes. Show a proven ability to communicate
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or a numerate discipline OR equivalent experience. Broad knowledge of probabilistic models, Bayesian inference and machine learning methods. Good knowledge of R, Python or both (links to project source
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disability and life course research. You will have the opportunity to use your initiative and creativity to identify areas for research, develop research methods and extend your research portfolio. The School
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completion of a PhD in geomechanics, energy engineering, geophysics, and/or geodynamics. An established record of scientific achievements in geomechanics and geomechanical numerical modelling, including
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for experimental projects conducted in the IWT. Disseminate research through publication in high-quality journals and leading conferences. If possible, develop or adopt numerical simulation models and methods
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statistical methods. We are committed to supporting and developing our team members, through attendance at conferences and access to training in research methods, and will support you to further develop your
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which you will be encouraged and supported to use your initiative and creativity to identify areas for research, develop research methods and extend your research portfolio. In particular, focus
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(CFD) methods. The role focuses on transitioning legacy CFD solvers to modern, Python-based AI frameworks (e.g., PyTorch, JAX), targeting high-efficiency, scalable simulations of water-air systems with
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areas. These include, but are not limited to: Learning about technical writing methods and standards for government reports Gaining experience in numerous science areas related to the human